mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-26 14:54:27 +01:00
Make clippy happy
This commit is contained in:
parent
9b1f439a91
commit
56b7209f26
@ -22,8 +22,8 @@ pub struct DistinctOutput {
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/// is considered unique.
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/// - `excluded`: the set of document ids that contain a value for the given field that occurs
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/// in the given candidates.
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pub fn apply_distinct_rule<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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pub fn apply_distinct_rule(
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ctx: &mut SearchContext,
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field_id: u16,
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candidates: &RoaringBitmap,
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// TODO: add a universe here, such that the `excluded` are a subset of the universe?
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@ -102,10 +102,10 @@ impl SearchLogger<QueryGraph> for DetailedSearchLogger {
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self.ranking_rules_ids = Some(rr.iter().map(|rr| rr.id()).collect());
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}
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fn start_iteration_ranking_rule<'transaction>(
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fn start_iteration_ranking_rule(
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&mut self,
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ranking_rule_idx: usize,
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_ranking_rule: &dyn RankingRule<'transaction, QueryGraph>,
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_ranking_rule: &dyn RankingRule<QueryGraph>,
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query: &QueryGraph,
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universe: &RoaringBitmap,
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) {
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@ -117,10 +117,10 @@ impl SearchLogger<QueryGraph> for DetailedSearchLogger {
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})
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}
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fn next_bucket_ranking_rule<'transaction>(
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fn next_bucket_ranking_rule(
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&mut self,
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ranking_rule_idx: usize,
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_ranking_rule: &dyn RankingRule<'transaction, QueryGraph>,
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_ranking_rule: &dyn RankingRule<QueryGraph>,
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universe: &RoaringBitmap,
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candidates: &RoaringBitmap,
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) {
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@ -131,10 +131,10 @@ impl SearchLogger<QueryGraph> for DetailedSearchLogger {
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time: Instant::now(),
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})
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}
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fn skip_bucket_ranking_rule<'transaction>(
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fn skip_bucket_ranking_rule(
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&mut self,
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ranking_rule_idx: usize,
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_ranking_rule: &dyn RankingRule<'transaction, QueryGraph>,
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_ranking_rule: &dyn RankingRule<QueryGraph>,
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candidates: &RoaringBitmap,
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) {
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self.events.push(SearchEvents::RankingRuleSkipBucket {
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@ -144,10 +144,10 @@ impl SearchLogger<QueryGraph> for DetailedSearchLogger {
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})
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}
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fn end_iteration_ranking_rule<'transaction>(
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fn end_iteration_ranking_rule(
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&mut self,
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ranking_rule_idx: usize,
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_ranking_rule: &dyn RankingRule<'transaction, QueryGraph>,
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_ranking_rule: &dyn RankingRule<QueryGraph>,
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universe: &RoaringBitmap,
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) {
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self.events.push(SearchEvents::RankingRuleEndIteration {
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@ -427,7 +427,7 @@ results.{cur_ranking_rule}{cur_activated_id} {{
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ctx: &mut SearchContext,
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node_idx: Interned<QueryNode>,
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node: &QueryNode,
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distances: &[u16],
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_distances: &[u16],
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file: &mut File,
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) {
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match &node.data {
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@ -25,33 +25,33 @@ pub trait SearchLogger<Q: RankingRuleQueryTrait> {
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fn ranking_rules(&mut self, rr: &[Box<dyn RankingRule<Q>>]);
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/// Logs the start of a ranking rule's iteration.
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fn start_iteration_ranking_rule<'transaction>(
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fn start_iteration_ranking_rule(
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&mut self,
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ranking_rule_idx: usize,
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ranking_rule: &dyn RankingRule<'transaction, Q>,
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ranking_rule: &dyn RankingRule<Q>,
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query: &Q,
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universe: &RoaringBitmap,
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);
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/// Logs the end of the computation of a ranking rule bucket
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fn next_bucket_ranking_rule<'transaction>(
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fn next_bucket_ranking_rule(
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&mut self,
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ranking_rule_idx: usize,
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ranking_rule: &dyn RankingRule<'transaction, Q>,
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ranking_rule: &dyn RankingRule<Q>,
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universe: &RoaringBitmap,
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candidates: &RoaringBitmap,
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);
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/// Logs the skipping of a ranking rule bucket
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fn skip_bucket_ranking_rule<'transaction>(
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fn skip_bucket_ranking_rule(
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&mut self,
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ranking_rule_idx: usize,
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ranking_rule: &dyn RankingRule<'transaction, Q>,
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ranking_rule: &dyn RankingRule<Q>,
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candidates: &RoaringBitmap,
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);
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/// Logs the end of a ranking rule's iteration.
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fn end_iteration_ranking_rule<'transaction>(
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fn end_iteration_ranking_rule(
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&mut self,
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ranking_rule_idx: usize,
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ranking_rule: &dyn RankingRule<'transaction, Q>,
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ranking_rule: &dyn RankingRule<Q>,
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universe: &RoaringBitmap,
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);
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/// Logs the addition of document ids to the final results
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@ -95,35 +95,35 @@ impl<Q: RankingRuleQueryTrait> SearchLogger<Q> for DefaultSearchLogger {
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fn ranking_rules(&mut self, _rr: &[Box<dyn RankingRule<Q>>]) {}
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fn start_iteration_ranking_rule<'transaction>(
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fn start_iteration_ranking_rule(
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&mut self,
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_ranking_rule_idx: usize,
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_ranking_rule: &dyn RankingRule<'transaction, Q>,
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_ranking_rule: &dyn RankingRule<Q>,
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_query: &Q,
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_universe: &RoaringBitmap,
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) {
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}
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fn next_bucket_ranking_rule<'transaction>(
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fn next_bucket_ranking_rule(
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&mut self,
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_ranking_rule_idx: usize,
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_ranking_rule: &dyn RankingRule<'transaction, Q>,
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_ranking_rule: &dyn RankingRule<Q>,
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_universe: &RoaringBitmap,
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_candidates: &RoaringBitmap,
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) {
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}
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fn skip_bucket_ranking_rule<'transaction>(
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fn skip_bucket_ranking_rule(
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&mut self,
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_ranking_rule_idx: usize,
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_ranking_rule: &dyn RankingRule<'transaction, Q>,
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_ranking_rule: &dyn RankingRule<Q>,
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_candidates: &RoaringBitmap,
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) {
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}
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fn end_iteration_ranking_rule<'transaction>(
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fn end_iteration_ranking_rule(
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&mut self,
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_ranking_rule_idx: usize,
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_ranking_rule: &dyn RankingRule<'transaction, Q>,
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_ranking_rule: &dyn RankingRule<Q>,
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_universe: &RoaringBitmap,
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) {
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}
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@ -61,8 +61,8 @@ impl<'ctx> SearchContext<'ctx> {
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/// Apply the [`TermsMatchingStrategy`] to the query graph and resolve it.
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#[allow(clippy::too_many_arguments)]
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fn resolve_maximally_reduced_query_graph<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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fn resolve_maximally_reduced_query_graph(
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ctx: &mut SearchContext,
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universe: &RoaringBitmap,
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query_graph: &QueryGraph,
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matching_strategy: TermsMatchingStrategy,
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@ -75,7 +75,7 @@ fn resolve_maximally_reduced_query_graph<'ctx>(
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for (_, n) in query_graph.nodes.iter() {
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match &n.data {
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QueryNodeData::Term(term) => {
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all_positions.extend(term.positions.clone().into_iter());
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all_positions.extend(term.positions.clone());
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}
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QueryNodeData::Deleted | QueryNodeData::Start | QueryNodeData::End => {}
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}
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@ -222,8 +222,8 @@ fn get_ranking_rules_for_query_graph_search<'ctx>(
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}
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#[allow(clippy::too_many_arguments)]
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pub fn execute_search<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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pub fn execute_search(
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ctx: &mut SearchContext,
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query: &str,
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terms_matching_strategy: TermsMatchingStrategy,
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filters: Option<Filter>,
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@ -425,8 +425,8 @@ impl LocatedQueryTerm {
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}
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/// Convert the tokenised search query into a list of located query terms.
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pub fn located_query_terms_from_string<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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pub fn located_query_terms_from_string(
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ctx: &mut SearchContext,
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query: NormalizedTokenIter<Vec<u8>>,
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words_limit: Option<usize>,
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) -> Result<Vec<LocatedQueryTerm>> {
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@ -43,9 +43,9 @@ impl<G: RankingRuleGraphTrait> ConditionDocIdsCache<G> {
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///
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/// If the cache does not yet contain these docids, they are computed
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/// and inserted in the cache.
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pub fn get_condition_docids<'s, 'ctx>(
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pub fn get_condition_docids<'s>(
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&'s mut self,
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ctx: &mut SearchContext<'ctx>,
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ctx: &mut SearchContext,
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interned_condition: Interned<G::Condition>,
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graph: &mut RankingRuleGraph<G>,
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universe: &RoaringBitmap,
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@ -77,22 +77,19 @@ pub trait RankingRuleGraphTrait: Sized {
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/// Return the label of the given edge condition, to be used when visualising
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/// the ranking rule graph.
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fn label_for_condition<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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condition: &Self::Condition,
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) -> Result<String>;
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fn label_for_condition(ctx: &mut SearchContext, condition: &Self::Condition) -> Result<String>;
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/// Compute the document ids associated with the given edge condition,
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/// restricted to the given universe.
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fn resolve_condition<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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fn resolve_condition(
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ctx: &mut SearchContext,
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condition: &Self::Condition,
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universe: &RoaringBitmap,
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) -> Result<(RoaringBitmap, FxHashSet<Interned<String>>, FxHashSet<Interned<Phrase>>)>;
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/// Return the costs and conditions of the edges going from the source node to the destination node
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fn build_edges<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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fn build_edges(
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ctx: &mut SearchContext,
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conditions_interner: &mut DedupInterner<Self::Condition>,
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source_node: &QueryNode,
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dest_node: &QueryNode,
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@ -7,8 +7,8 @@ use crate::search::new::query_term::LocatedQueryTerm;
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use crate::search::new::{QueryNode, SearchContext};
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use crate::Result;
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pub fn build_edges<'ctx>(
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_ctx: &mut SearchContext<'ctx>,
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pub fn build_edges(
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_ctx: &mut SearchContext,
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conditions_interner: &mut DedupInterner<ProximityCondition>,
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from_node: &QueryNode,
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to_node: &QueryNode,
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@ -13,8 +13,8 @@ use fxhash::FxHashSet;
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use heed::RoTxn;
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use roaring::RoaringBitmap;
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pub fn compute_docids<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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pub fn compute_docids(
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ctx: &mut SearchContext,
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condition: &ProximityCondition,
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universe: &RoaringBitmap,
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) -> Result<(RoaringBitmap, FxHashSet<Interned<String>>, FxHashSet<Interned<Phrase>>)> {
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@ -29,8 +29,8 @@ pub enum ProximityGraph {}
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impl RankingRuleGraphTrait for ProximityGraph {
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type Condition = ProximityCondition;
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fn resolve_condition<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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fn resolve_condition(
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ctx: &mut SearchContext,
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condition: &Self::Condition,
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universe: &RoaringBitmap,
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) -> Result<(roaring::RoaringBitmap, FxHashSet<Interned<String>>, FxHashSet<Interned<Phrase>>)>
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@ -38,8 +38,8 @@ impl RankingRuleGraphTrait for ProximityGraph {
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compute_docids::compute_docids(ctx, condition, universe)
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}
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fn build_edges<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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fn build_edges(
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ctx: &mut SearchContext,
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conditions_interner: &mut DedupInterner<Self::Condition>,
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source_node: &QueryNode,
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dest_node: &QueryNode,
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@ -59,10 +59,7 @@ impl RankingRuleGraphTrait for ProximityGraph {
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logger.log_proximity_state(graph, paths, dead_ends_cache, universe, distances, cost);
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}
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fn label_for_condition<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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condition: &Self::Condition,
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) -> Result<String> {
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fn label_for_condition(ctx: &mut SearchContext, condition: &Self::Condition) -> Result<String> {
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match condition {
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ProximityCondition::Uninit { cost, .. } => {
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// TODO
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@ -23,8 +23,8 @@ pub enum TypoGraph {}
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impl RankingRuleGraphTrait for TypoGraph {
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type Condition = TypoCondition;
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fn resolve_condition<'db_cache, 'ctx>(
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ctx: &mut SearchContext<'ctx>,
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fn resolve_condition<'db_cache>(
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ctx: &mut SearchContext,
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condition: &Self::Condition,
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universe: &RoaringBitmap,
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) -> Result<(RoaringBitmap, FxHashSet<Interned<String>>, FxHashSet<Interned<Phrase>>)> {
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@ -57,8 +57,8 @@ impl RankingRuleGraphTrait for TypoGraph {
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))
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}
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fn build_edges<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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fn build_edges(
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ctx: &mut SearchContext,
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conditions_interner: &mut DedupInterner<Self::Condition>,
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_from_node: &QueryNode,
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to_node: &QueryNode,
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@ -152,10 +152,7 @@ impl RankingRuleGraphTrait for TypoGraph {
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logger.log_typo_state(graph, paths, dead_ends_cache, universe, distances, cost);
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}
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fn label_for_condition<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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condition: &Self::Condition,
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) -> Result<String> {
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fn label_for_condition(ctx: &mut SearchContext, condition: &Self::Condition) -> Result<String> {
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let TypoCondition { term } = condition;
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let term = ctx.term_interner.get(*term);
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let QueryTerm {
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@ -87,8 +87,8 @@ impl QueryTermDocIdsCache {
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}
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}
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pub fn resolve_query_graph<'ctx>(
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ctx: &mut SearchContext<'ctx>,
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pub fn resolve_query_graph(
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ctx: &mut SearchContext,
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q: &QueryGraph,
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universe: &RoaringBitmap,
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) -> Result<RoaringBitmap> {
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@ -47,7 +47,7 @@ impl<'ctx> RankingRule<'ctx, QueryGraph> for Words {
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for (_, n) in parent_query_graph.nodes.iter() {
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match &n.data {
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QueryNodeData::Term(term) => {
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all_positions.extend(term.positions.clone().into_iter());
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all_positions.extend(term.positions.clone());
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}
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QueryNodeData::Deleted | QueryNodeData::Start | QueryNodeData::End => {}
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}
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@ -591,8 +591,7 @@ fn create_matching_words(
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}
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// create a CONSECUTIVE matchings words wrapping all word in the phrase
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PrimitiveQueryPart::Phrase(words) => {
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let ids: Vec<_> =
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(0..words.len()).into_iter().map(|i| id + i as PrimitiveWordId).collect();
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let ids: Vec<_> = (0..words.len()).map(|i| id + i as PrimitiveWordId).collect();
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// Require that all words of the phrase have a corresponding MatchingWord
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// before adding any of them to the matching_words result
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if let Some(phrase_matching_words) = words
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@ -649,10 +648,8 @@ fn create_matching_words(
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}
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})
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.collect();
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let ids: Vec<_> = (0..words.len())
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.into_iter()
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.map(|i| id + i as PrimitiveWordId)
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.collect();
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let ids: Vec<_> =
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(0..words.len()).map(|i| id + i as PrimitiveWordId).collect();
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if let Some(synonyms) = ctx.synonyms(&words)? {
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for synonym in synonyms {
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